A new approach of parameterization is proposed to construct a general goodness-of-fit test. It can not only generate traditional tests (including the Kolmogorov-Smirnov, Cramér-von Mises and Anderson-Darling tests) but also produce new types of omnibus tests, which are generally much more powerful than the old ones. Copyright 2002 The Royal Statistical Society.
In this revised and expanded edition of Smooth Tests of Goodness of Fit, the latest techniques for a...
A modified version of the Kolmogorov-Smirnov (KS) test is presented as a tool to assess whether a sp...
Goodness-of-fit test statistics are widely used in surveys however little regard is given to the sta...
Parameterization is an useful approach to construct a goodness of fit test based on parametric appro...
AbstractWe give the results of a comprehensive simulation study of the power properties of prominent...
An important problem in statistical inference is to check the adequacy of models upon which inferenc...
Pearson's χ2- and the log-likelihood ratio χ2-statistics are fundamental tools in goodness-of-fit te...
The properties of a new nonparametric goodness of fit test are explored. It is based on a likelihood...
The classical goodness-of-fit problem, in the case of a null continuous and completely specified dis...
For (very) sparse nominal data, common goodness-of-fit tests usually fail. Alternative goodness-of-f...
Abstract: Goodness-of-fit test statistics are widely used in health and medicine related surveys how...
Smooth tests of goodness of fit assess the fit of data to a given probability density function withi...
In this fully revised and expanded edition of Smooth Tests of Goodness of Fit , the latest powerful ...
We propose a new and rather stringent criterion for testing the goodness of fit between a theory and...
A comprehensive study has been performed to provide general guidelines for the practical choice of t...
In this revised and expanded edition of Smooth Tests of Goodness of Fit, the latest techniques for a...
A modified version of the Kolmogorov-Smirnov (KS) test is presented as a tool to assess whether a sp...
Goodness-of-fit test statistics are widely used in surveys however little regard is given to the sta...
Parameterization is an useful approach to construct a goodness of fit test based on parametric appro...
AbstractWe give the results of a comprehensive simulation study of the power properties of prominent...
An important problem in statistical inference is to check the adequacy of models upon which inferenc...
Pearson's χ2- and the log-likelihood ratio χ2-statistics are fundamental tools in goodness-of-fit te...
The properties of a new nonparametric goodness of fit test are explored. It is based on a likelihood...
The classical goodness-of-fit problem, in the case of a null continuous and completely specified dis...
For (very) sparse nominal data, common goodness-of-fit tests usually fail. Alternative goodness-of-f...
Abstract: Goodness-of-fit test statistics are widely used in health and medicine related surveys how...
Smooth tests of goodness of fit assess the fit of data to a given probability density function withi...
In this fully revised and expanded edition of Smooth Tests of Goodness of Fit , the latest powerful ...
We propose a new and rather stringent criterion for testing the goodness of fit between a theory and...
A comprehensive study has been performed to provide general guidelines for the practical choice of t...
In this revised and expanded edition of Smooth Tests of Goodness of Fit, the latest techniques for a...
A modified version of the Kolmogorov-Smirnov (KS) test is presented as a tool to assess whether a sp...
Goodness-of-fit test statistics are widely used in surveys however little regard is given to the sta...